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Full-Text Articles in Life Sciences
Plant Discrimination By Support Vector Machine Classifier Based On Spectral Reflectance, Saman Akbarzadeh, Arie J. Paap, Selam T. Ahderom, Beniamin Apopei, Kamal Alameh
Plant Discrimination By Support Vector Machine Classifier Based On Spectral Reflectance, Saman Akbarzadeh, Arie J. Paap, Selam T. Ahderom, Beniamin Apopei, Kamal Alameh
Research outputs 2014 to 2021
Support Vector Machine (SVM) algorithms are developed for weed-crop discrimination and their accuracies are compared with a conventional data-aggregation method based on the evaluation of discrete Normalised Difference Vegetation Indices (NDVIs) at two different wavelengths. A testbed is especially built to collect the spectral reflectance properties of corn (as a crop) and silver beet (as a weed) at 635 nm, 685 nm, and 785 nm, at a speed of 7.2 km/h. Results show that the use of the Gaussian-kernel SVM method, in conjunction with either raw reflected intensities or NDVI values as inputs, provides better discrimination accuracy than that attained …